Stelo Blog

Stelo Achieves BigQuery Designation, Unlocking Legacy Data for Enterprise Cloud Analytics

Modern analytics platforms continue to evolve, offering increasingly sophisticated capabilities in visualization, machine learning, and decision automation. But for many organizations, the critical bottleneck isn’t what these tools can do, it’s getting operational data into them in the first place.

Stelo’s recent achievement of the Google Cloud Ready - BigQuery designation directly addresses this challenge. Stelo’s real-time data replication platform is now officially recognized by Google as a tested, reliable method for integrating operational data from systems like IBM Db2 for iSeries, Informix, Oracle, and SQL Server into BigQuery. As a result, organizations can now connect legacy data sources to cloud analytics pipelines faster and with fewer risks.

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Closing the Gap Between Operational Systems and Cloud Analytics

Enterprises that rely on legacy transactional systems, including those in manufacturing, logistics, finance, and retail, face a persistent challenge: their most valuable data is locked in relational databases never designed to interface new data streaming platforms that drive advanced analytics and AI initiatives. These systems manage real-time production data, inventory, and financial transactions, but are isolated from modern analytics environments due to architectural and technical barriers.

This disconnect undermines enterprise efforts to modernize. Data latency, patchwork solutions, and integration overhead delay insights and reduce the impact of analytics and AI initiatives.

Stelo solves this by providing real-time data replication from legacy systems directly into BigQuery without the need for custom code or disruption to existing production operations. Google’s BigQuery team confirmed Stelo’s ability to meet their functional and interoperability requirements through a structured validation process. For Stelo customers, the designation means faster onboarding, reduced integration testing, and a higher degree of confidence in long-term performance.

“This designation is a milestone in our mission to reimagine how enterprises interact with operational data,” said Paul Rampel, Founder and President of Stelo. “By enabling organizations to stream data from systems like Db2 for i into BigQuery, we’re helping bridge the gap between core business operations and advanced analytics.”

BigQuery Designation Impact on Google Cloud and Enterprise IT

This partnership extends the reach of BigQuery into environments where it previously wasn’t a viable option. Many global organizations have significant infrastructure investments in IBM Db2 for i and similar platforms. These systems are deeply embedded in critical workflows, but are often treated as data silos.

For Google Cloud, Stelo opens the door to a broader customer base with rich operational data. And for those customers, Stelo provides a path to modern analytics without the cost and complexity of = replacing core systems.

Stelo unlocks the value of Db2 for i by enabling near real-time integration with downstream cloud services. Organizations gain access to production data within their analytics platforms, supporting everything from inventory optimization to financial forecasting—all based on current, high-fidelity data.

Engineering Considerations and Strategic Benefits

From an architectural perspective, Stelo provides:

  • Change data capture replication with low latency
  • Platform-agnostic support across major enterprise systems
  • No-code configuration, reducing integration friction and lowering the burden on engineering teams
  • Streamlined deployment via Google Cloud Platform, accelerating time to value

With a streamlined and holistic data streaming approach, Stelo lets IT teams focus on building intelligence, not managing pipelines. And with the Google Cloud Ready - BigQuery designation, that architecture is now officially supported and validated by Google.

Continued Investment in the Platform

Stelo’s technology roadmap is built with future-proofing in mind, ensuring that Stelo supports current data requirements and evolves in step with next level data usage platforms.

Stream Smarter with Stelo Today.